List all available tables in the dataset
AI agents call list_tables to retrieve information from SQLGenius without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves schema metadata (table names) from a BigQuery dataset without querying data, modifying resources, or executing code. It is a straightforward informational read operation with minimal risk. The low severity reflects that table names alone pose minimal security risk, though broader schema knowledge could inform subsequent attacks via sibling tools like execute_sql_query.
From the tool's definition Tool name 'list_tables' and description 'List all available tables in the dataset' indicate a pure data retrieval operation with no modification or execution capability.
Documented attack patterns abuse exactly the kind of access list_tables gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SQLGenius, and nothing reaches the server without passing your rules. This is the rule we recommend for list_tables:
{
"version": "1",
"default": "deny",
"tools": {
"list_tables": {}
}
}list_tables is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all available tables in the dataset. It is categorised as a Read tool in the SQLGenius MCP Server, which means it retrieves data without modifying state.
Register the SQLGenius MCP server in PolicyLayer and add a rule for list_tables: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches SQLGenius. Nothing to install.
list_tables is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_tables rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for list_tables. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
list_tables is provided by the SQLGenius MCP server (pawankumar94/sql_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SQLGenius, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 SQLGenius tools catalogued and risk-classified — across an index of 43,000+ MCP servers.